Senior Data Scientist

Microsoft Corporation

Redmond, WA

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JOB DETAILS

SALARY

$119,800–$234,700 Per Year

SKILLS

Advertising, Advertising Monitoring, Advertising Sales, Algorithms, Analysis Skills, Business Operations, Campaigns, Computer Programming, Computer Science, Cross-Functional, Customer Support/Service, Data Analysis, Data Management, Data Science, Database Programming Languages, Demand Generation, Econometrics, Economics, Experiment Design, Forecasting, Integrated Circuits (ICs), International Marketing, International Sales, Legal, Machine Learning, Marketing, Mathematics, Metrics, Microsoft Bing Search Engine, Microsoft Outlook, Microsoft Product Family, Operations Research, Outbound Marketing, Predictive Modeling, Problem Solving Skills, Product Support, Productivity Management, Programming Languages, Prototyping, Python Programming/Scripting Language, R Programming Language, Return on Investment (ROI), SQL (Structured Query Language), Sales, Search Engines, Statistical Modeling, Statistics, Storytelling, Structured Data, Test Scenario, Unstructured Data, Xbox

LOCATION

Redmond, WA

POSTED

4 days ago

**Overview** Microsoft Advertising (MSA) is a worldwide Sales, Marketing, Business and Operations organization on the cutting edge of the digital advertising industry. We are the engine that powers the buying and selling of digital advertising across all aspects of our digital portfolio including our high-growth search engine, Bing, and consumer services like MSN, Microsoft News, Xbox, and Outlook. Market Sciences Team within MSA is hiring **Senior Data Scientist** with expertise in the areas of: Causal Inference, Measurement, Experimental design, Machine Learning, Econometrics and Statistics. The team turns massive-scale data into actionable insights to drive rigorous, data-driven decisions across MSA, working closely with cross-functional partners. They lead model development, analytics and experimentation across areas such as advertiser value and lifecycle, retention and churn, segmentation and forecasting, campaign effectiveness, ROI measurement, and demand health metrics. Their work includes building measurement frameworks, causal analyses, and prototyping algorithms to optimize sales and marketing impact. As a **Senior Data Scientist** in MSA Market Sciences Team, you will have the opportunity to apply your data science skills to have a real impact on Microsoft's advertising business, our advertising partners, and millions of end users. This role is a unique opportunity to work with a world-class, interdisciplinary group of data scientists, analysts, sales, and product managers. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. **Responsibilities** + Measurement: Design metrics to measure and track Microsoft advertiser demand health and inform/guide sales and marketing execution. Quantify the impact and incrementality of various sales and marketing programs. + Experimentation: Design and analyzing the results of online and offline experiments. Using quasi-experiments and counterfactuals to understand the causality in scenarios where AB testing is not feasible. + Demand Generation: Prototyping algorithms for creating, managing, and optimizing demand generation activities through sales, marketing, and product to support our ad marketplace + Problem formulation: Work with key business stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes. + Model development: Develop new predictive and prescriptive models using advanced statistical and machine learning techniques with a goal of productionizing solutions. + Influence: Influence stakeholders to make product/service improvements that yield customer/business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools. **Qualifications** **Required Qualifications:** + Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR equivalent experience. **Additional or Preferred Qualifications:** + Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR equivalent experience. + Experience in all phases of managing data science projects including problem definition, solution formulation, model building, productionizing and delivering measurable impact. + Hands-on experience in design & problem-solving skills with programming languages, such as Python and R and SQL-like query languages. + Experience in applying statistics, designing experimentation, causal inference and metrics. At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you're passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you. Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (https://careers.microsoft.com/v2/global/en/accessibility.html)

About the Company

Microsoft Corporation

INDUSTRY

Other/Not Classified

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